How to Use the Wuro MCP in CrewAI

Q: How does CrewAI handle listing all accounts with Wuro?

You give your crew access to listcontacts and listinvoices. The role-based agents can then share this data, allowing one agent to compile a master list for the team monitor.

Q: Can I automate quote generation with Wuro using CrewAI?

Yes. Agent A can gather product details from listproducts, and Agent B uses that information to execute createquote. The resulting estimate is then passed to the team moderator for storage.

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Connect Wuro MCP to CrewAI

Create your Vinkius account to connect Wuro to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wuro with CrewAI

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Autonomous Billing Cycle

The `create_invoice` tool lets your crew automatically generate invoices after a cycle completes. Agent A can research the required line items, while Agent B uses `list_products` to verify pricing. Agent C then runs `create_invoice`, and the result is passed to an escalation agent for final record keeping.

Multi-Step Estimation Process

`get_quote` allows one specialized agent to pull existing estimates. Another agent can compare this data against a new set of products listed by `list_products`. The entire sequence runs autonomously, building reports without needing human intervention between steps.

Full Contact Lifecycle Management

Your crew can manage the full lifecycle. First, an agent uses `list_contacts` to identify who needs billing. Next, a different agent calls `create_contact` if a new person is found. Finally, they use `get_contact` to retrieve the verified details needed for the next task.

Setup guide

Set up Wuro MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Wuro tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Wuro Analyst",
    goal="Access and analyze Wuro data via MCP.",
    backstory="Expert analyst with direct Wuro access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Wuro transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Wuro Analyst",
        goal="Access and analyze Wuro data via MCP.",
        backstory="Expert analyst with direct Wuro access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Wuro transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wuro. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Wuro MCP in CrewAI

You give your crew access to `list_contacts` and `list_invoices`. The role-based agents can then share this data, allowing one agent to compile a master list for the team monitor.

Yes. Agent A can gather product details from `list_products`, and Agent B uses that information to execute `create_quote`. The resulting estimate is then passed to the team moderator for storage.

The crew operates with shared memory. If an external change updates a contact record, agents can be programmed to run `get_contact` periodically and flag discrepancies for review.

The server handles customer invoices, quotes, and purchases. If your crew is reviewing billing history, it will be accessing `list_invoices` and `list_purchases`.

The server touches contact details and employee information. Remember that when running any process, the crew must validate access rights before allowing agents to read PII from `list_contacts`.

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